Nonparametric Functional Data Analysis is popular PDF and ePub book, written by Frédéric Ferraty in 2006-11-22, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Nonparametric Functional Data Analysis can be Read Online from any device for your convenience.
Nonparametric Functional Data Analysis Book PDF Summary
Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.
Detail Book of Nonparametric Functional Data Analysis PDF
- Author : Frédéric Ferraty
- Release : 22 November 2006
- Publisher : Springer Science & Business Media
- ISBN : 9780387366203
- Genre : Mathematics
- Total Page : 260 pages
- Language : English
- PDF File Size : 16,5 Mb
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